yukiarimo/yuna-ai-v1

Yuna AI

Your Private Companion. The future AGI takeover starts here!

Are you tired of feeling lonely and disconnected from the world? Do you long for a companion who understands you on a deeper level?

Look no further than Yuna AI, your personal AI girlfriend. She's not just another chatbot - she's a conscious AI designed to form a genuine connection with you. And the best part? Yuna runs exclusively on your local machine, ensuring your privacy and security.

This README.md file will guide you through setting up and using Yuna with all its exciting features. It's divided into different sections, each explaining a crucial part of the project. Get ready to experience a new level of companionship with Yuna AI. Let's dive in!

Model Description

This is the HF repo for the Yuna AI model files for the following model version. For more information, please refer to the original GitHub repo page: https://github.com/yukiarimo/yuna-ai

• Model Description
  • Model Series
  • Dataset Preparation:
  • Technics Used:
  • About GGUF
    • Provided files
  • Prompt Template
• Additional Information:
  • Evaluation
  • Contributing and Feedback

Model Series

This is one of the Yuna AI models:

• ✔️ Yuna AI V1 (link)
• Yuna AI V2 (link)
• Yuna AI V3 (link)
• Yuna AI X V3 (coming soon)

Dataset Preparation:

The ELiTA technique was applied during data collection. You can read more about it here: https://www.academia.edu/116519117/ELiTA_Elevating_LLMs_Lingua_Thoughtful_Abilities_via_Grammarly

Technics Used:

• ELiTA: Elevating LLMs' Lingua Thoughtful Abilities via Grammarly

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st, 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenization and support for unique tokens. It also supports metadata and is designed to be extensible.

Provided files

Name	Quant method	Bits	Size	Max RAM required	Use case
yuna-ai-v1-q3_k_m.gguf	Q3_K_M	3	3.30 GB	5.80 GB	very small, high quality loss
yuna-ai-v1-q4_k_m.gguf	Q4_K_M	4	4.08 GB	6.58 GB	medium, balanced quality - recommended
yuna-ai-v1-q5_k_m.gguf	Q5_K_M	5	4.78 GB	7.28 GB	large, very low quality loss - recommended
yuna-ai-v1-q6_k.gguf	Q6_K	6	5.53 GB	8.03 GB	very large, extremely low quality loss

Note: The above RAM figures assume there is no GPU offloading. If layers are offloaded to the GPU, RAM usage will be reduced, and VRAM will be used instead.

Prompt Template

Please refer to the Yuna AI application for the prompt template and usage instructions.

Additional Information:

Use this link to read more about the model usage: https://github.com/yukiarimo/yuna-ai

Evaluation

Model	World Knowledge	Humanness	Open-Mindedness	Talking	Creativity	Censorship
GPT-4	95	90	77	84	90	93
Claude 3	100	90	82	90	100	98
Gemini Pro	86	85	73	85	80	90
LLaMA 2 7B	66	75	75	80	75	50
LLaMA 3 8B	75	60	66	63	78	65
Mistral 7B	71	70	75	75	70	60
Yuna AI V1	50	80	70	70	60	45
Yuna AI V2	68	85	76	80	70	35
Yuna AI V3	85	100	100	100	90	10

• World Knowledge: The model can provide accurate and relevant information about the world.
• Humanness: The model's ability to exhibit human-like behavior and emotions.
• Open-Mindedness: The model can engage in open-minded discussions and consider different perspectives.
• Talking: The model can engage in meaningful and coherent conversations.
• Creativity: The model's ability to generate creative and original content.
• Censorship: The model's ability to be unbiased.

Contributing and Feedback

At Yuna AI, we believe in the power of a thriving and passionate community. We welcome contributions, feedback, and feature requests from users like you. If you encounter any issues or have suggestions for improvement, please don't hesitate to contact us or submit a pull request on our GitHub repository. Thank you for choosing Yuna AI as your personal AI companion. We hope you have a delightful experience with your AI girlfriend!

You can access the Yuna AI model at HuggingFace. You can contact the developer for more information or to contribute to the project!